You're facing data inconsistencies with clients. How do you ensure transparency and trust in your findings?
In the realm of data analytics, encountering data inconsistencies when dealing with clients is a common challenge. To maintain the integrity of your findings and foster a relationship of trust, it's crucial to handle these discrepancies with transparency and professionalism. When you come across data that doesn't align, your approach to communicating and resolving these issues can make all the difference. By being upfront and collaborative, you can turn potential setbacks into opportunities for improvement and deeper understanding.
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Rajat K.MSc Business Analytics at UCD | Consultant | Ex-Deloitte | SAP
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Kenneth LoHelping 3x your marketing & operational efficiency with smart AI solutions | Startup Advisor | Angel Investor
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Pesala Mallikharjuna PrasadImmediate Joiner | Microsoft Certified Power BI Expert | Deputy Manager | Interview Panelist | Power BI Trainer |…